Research Platform Engineer (ML)

Location: New York, United States; hybrid working opportunities available

Annual base salary: $200,000–$300,000, plus eligibility for a discretionary bonus

Company

Quantitative trading firm developing high-performance electronic trading infrastructure and supporting independent trading teams with market access, data, compute, research infrastructure, risk management, compliance, and business services.

What you will do

• Develop a multi-tenant research compute platform for large-scale machine learning workloads across GPU and CPU infrastructure.
• Design platform abstractions, APIs, scheduler wrappers, and a durable job control plane for simulations, distributed training, and research pipelines.
• Build multi-tenant scheduling and isolation with HPC-grade batch scheduling, topology awareness, fair-share allocation, and cloud-native flexibility.
• Enable portable execution across on-premise datacenters and public cloud providers, and integrate workflow orchestration engines for feature, training, and backtesting pipelines.
• Implement failure detection, retries, checkpointing, high-performance data paths, and observability for distributed workloads.
• Provide compute utilization, queue pressure, and GPU/CPU cost attribution visibility for portfolio managers and senior management.

Requirements

• Deep experience administering HPC job schedulers such as Slurm, including gang scheduling, fair-share priority trees, topology-aware allocation, and containerized execution.
• Advanced understanding of Kubernetes architecture, CRDs, HPC-focused operators, admission controllers, and GPU-native schedulers.
• Experience with distributed computing and deep learning frameworks such as Ray, PyTorch, and JAX, including multi-node scaling.
• Hands-on experience evaluating, architecting, and operating job graph orchestration frameworks.
• Experience designing vendor-agnostic infrastructure, cloud-bursting strategies, and compute execution across multiple datacenters and public clouds.
• Knowledge of high-performance storage, high-speed network fabrics, cluster-wide telemetry, and cost attribution for multi-tenant environments.

Culture & Benefits

• Collaborative, results-oriented environment with no unnecessary hierarchy or ego.
• Generous paid time off and regional savings and financial wellness plans.
• Hybrid working opportunities.
• Daily breakfast, lunch, and snacks, plus in-office wellness experiences and selected wellness expense reimbursement.
• Company-sponsored sports teams, fitness events, volunteer opportunities, charitable giving, and social events.
• Workshops and continuous learning opportunities.